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Found 7 papers, 4 papers with code
On Sarcasm Detection with OpenAI GPT-based Models
In the zero-shot case, one of GPT-4 models yields an accuracy of 0. 70 and $F_1$-score of 0. 75.
EP-PQM: Efficient Parametric Probabilistic Quantum Memory with Fewer Qubits and Gates
For five datasets, we demonstrate that training an ML classification model using EP-PQM requires 48% to 77% fewer qubits than P-PQM for datasets with $a>2$.
Term Interrelations and Trends in Software Engineering
The Software Engineering (SE) community is prolific, making it challenging for experts to keep up with the flood of new papers and for neophytes to enter the field.
On Automatic Parsing of Log Records
We create a tool that generates synthetic Apache log records which we used to train recurrent-neural-network-based MT models.
Ranked #1 on
Machine Translation
on V_A (trained on T_H)
Anomaly Detection in a Large-scale Cloud Platform
Cloud computing is ubiquitous: more and more companies are moving the workloads into the Cloud.
Anomaly Detection in Cloud Components
Cloud platforms, under the hood, consist of a complex inter-connected stack of hardware and software components.
Automated data validation: an industrial experience report
To mitigate these concerns, we would like to bring software engineering best practices into data science.
Databases Software Engineering Applications
